SRmatlab

ct扇束等角滤波反投影重建算法matlab源码 分成源图像创建 投影 滤波反投影三个文件(ct Matlab reconstruction algorithm which can be used for CT image reconstruction)

含有Matlab的各种程序和代码，包括图像分割、模式识别、文字识别等。并且含有初学者入门的代码。(Matlab contains the various procedures and code, including image segmentation, pattern recognition, text recognition. And contain the code entry for beginners.)

采用8个阵元，利用CAPON算法，进行DOA，画出波达方向估计误差随着信噪比变化的曲线图(Eight elements, the use of the CAPON algorithm of DOA draw the DOA estimation error changes with the SNR curve)

说明：  图像处理-人脸识别技术：识别出图像中人物的五官形态，从而达到识别人脸的目的。(Image Processing-Face Recognition Technology)

提出一种基于特征点的运动场景图像拼接算法。基于相似变换消除选取在运动物体上的特征点，并使用RANSAC算法进行外点的剔除。在融合阶段，根据齐次变换矩阵求得对2幅图像的差异图像，并执行区域增长算法。从而分割出运动区域。使用一种分段映射算法生成全景图像。实验证明了算法的有效性。(A feature-based algorithm for image mosaics of 8c宅Iles with moving objects is pI．oposcd．The algorithm eliminates the feature points which arc selected in moving objects using similarity transform，and the outliers are eliminated using RANSAC algorithm．In the image blend phase，a difference of two images is created using homogeneous transformation matrix，and a region growth algorithm is implemented SO as to segment the movmg object region．A piecewise mapping algorithm for generating panoramic images is used．Experimental results show the effectiveness of the algorithm．)

【实例简介】 里面包含了DataGrid与ListBox的从主表样式设计，并绑定好数据，还有拓展菜单显示和隐藏-还有状态灯样式-系统托盘设计

说明：  基于粒子滤波的强大的跟踪算法,可以在背景变化情况子实现可靠的实时跟踪，并且配有相应的论文(particle filter)

运用小波阈值实现图像去噪，同时有小波的分解与重构。(Wavelet threshold is used to realize image denoising and wavelet decomposition and reconstruction.)

说明：  利用MATLAB对图像进行文件夹中图片进行批量增广(MATLAB is used to enlarge the images in the folder)

运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)